Update main.py

main.py

@@ -1,20 +1,47 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, WebSocket
+from fastapi.responses import HTMLResponse
 from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
-
-from transformers import pipeline
+from typing import List
+import numpy as np
 
 app = FastAPI()
 
-pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
+# Mount the static directory to serve HTML, JavaScript, and CSS files
+app.mount("/static", StaticFiles(directory="static"), name="static")
+
+# Serve the index.html file at the root URL
+@app.get("/")
+async def get():
+    return HTMLResponse(open("static/index.html").read())
 
-@app.get("/infer_t5")
-def t5(input):
-    output = pipe_flan(input)
-    return {"output": output[0]["generated_text"]}
+# Simulate your diffusion model (placeholder)
+def predict_next_frame(previous_frames: List[np.ndarray], previous_actions: List[str]) -> np.ndarray:
+    return np.zeros((800, 600, 3), dtype=np.uint8)
 
-app.mount("/", StaticFiles(directory="static", html=True), name="static")
+# WebSocket endpoint for continuous user interaction
+@app.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+    await websocket.accept()
+    previous_frames = []
+    previous_actions = []
+    
+    try:
+        while True:
+            # Receive user input (mouse movement, click, etc.)
+            data = await websocket.receive_json()
+            action_type = data.get("action_type")
+            mouse_position = data.get("mouse_position")
+            
+            # Store the actions
+            previous_actions.append((action_type, mouse_position))
+            
+            # Predict the next frame based on the previous frames and actions
+            next_frame = predict_next_frame(previous_frames, previous_actions)
+            previous_frames.append(next_frame)
+            
+            # Send the generated frame back to the client (encoded as base64 or similar)
+            await websocket.send_text("Next frame generated")  # Replace with real image sending logic
 
-@app.get("/")
-def index() -> FileResponse:
-    return FileResponse(path="/app/static/index.html", media_type="text/html")
+    except Exception as e:
+        print(f"Error: {e}")
+        await websocket.close()